Haryana has taken a major step toward eliminating tuberculosis by deploying AI-based TB tools under the National Pradhan Mantri TB Mukt Bharat Abhiyaan, Additional Chief Secretary of Health & Family Welfare, Dr. Sumita Misra, said today. The state has implemented a structured, three-pronged AI approach to strengthen screening, patient monitoring, and geographic prioritisation in its TB programme.
Three-Pronged AI Approach for TB Elimination
Dr. Misra explained that Haryana operationalised two of the three AI-based TB tools — Cough Against TB (CATB) and Vulnerability Mapping for Tuberculosis (VM-TB) — in February 2025, while the third, Prediction of Adverse TB Outcomes (PATO), has been functional since April 2023. These tools were developed in collaboration with the Central TB Division under the National Tuberculosis Elimination Programme to enhance early detection and effective treatment of TB.
Cough Against TB (CATB) Tool
The CATB tool is a mobile application that analyses cough sounds and symptoms to screen individuals for presumptive pulmonary TB, even in areas with limited internet connectivity. Designed for both community and facility-based use, this AI-based TB tool provides frontline health workers with fast, reliable decision support, enabling early identification of TB cases, even in asymptomatic individuals.
Since its launch, the tool has enrolled 711 individuals, oriented 2,654 frontline workers, registered 1,119 health workers on the platform, and flagged 140 presumptive TB cases for further diagnostic testing across 609 Health and Wellness Centres.
Prediction of Adverse TB Outcomes (PATO)
The PATO tool uses routinely collected patient data from the national Ni-kshay portal to identify patients at high risk of treatment dropout or mortality at the time of treatment initiation. By flagging high-risk individuals early, this AI-based TB tool allows healthcare providers to offer targeted monitoring and interventions, improving treatment adherence and reducing the risk of drug-resistant TB.
Since April 2023, the PATO tool has identified 18,591 high-risk patients in Haryana, enabling timely and focused care.
Vulnerability Mapping for Tuberculosis (VM-TB)
The VM-TB tool is an advanced AI-driven geospatial analytics platform that analyses notified TB cases alongside over 20 geospatial and health indicators to identify high-risk areas. Integrated with the national Ni-kshay portal, this AI-based TB tool assigns vulnerability scores to villages and urban wards, allowing health authorities to prioritise high-risk locations for active TB case finding.
Using VM-TB, Haryana has identified 2,111 high-risk villages, enabling targeted outreach and enhanced efficiency in TB screening and intervention programmes.
Accelerating Haryana’s Progress Toward TB Elimination
Dr. Misra highlighted that embedding advanced analytics within established programme structures strengthens frontline decision-making and improves efficiency. By deploying these AI-based TB tools, Haryana aims to ensure timely, targeted, and accessible TB care for all, reinforcing the state’s commitment to achieving a TB-Mukt Haryana.
The deployment of these three AI tools marks a significant step forward in using technology to fight TB, providing a scalable model for other states to enhance early detection, treatment adherence, and risk-based planning in the fight against tuberculosis.